Author: Edvaldo Freitas
-
DORA Metrics: mistakes to watch out for and how to fix them
If you’re just starting to implement DORA metrics, congrats! These metrics are powerful tools for improving your engineering team’s performance and efficiency. However, many people make common mistakes during the process that can undermine the full potential these metrics offer. In this post, we’re going to cover the main mistakes people make when adopting DORA…
-
Key benefits of AI for Code Review
When we think about code review, what often comes to mind is a tedious, detailed, and let’s be honest, tiring process. Reviewing code is essential, no doubt, but it doesn’t have to be a burden. This is where AI for code review comes in. Artificial intelligence is revolutionizing this process, and it’s no surprise that…
-
How to build a Developer Experience culture
Developer experience (DX) is essential for keeping developers productive and satisfied. When you invest in it, you not only improve team morale but also ensure cleaner code and faster deliveries. Let’s dive into how to create a culture that prioritizes DX and explore some best practices to make it happen. Why is Developer Experience important?…
-
The role of Code Review and its benefits for your company
Understanding the importance of code review can directly impact your project’s progress, especially since changes are common throughout development. Before moving a project forward, it needs to go through another developer for review. Only after all changes are made, reviewed, and approved does the project move on to the next phases. That’s what code review…
-
Improving Pull Requests Quality
The better a team handles code reviews, the more efficient they become, delivering value faster and fostering developer well-being. But what makes Pull Requests (PRs) easier to review? There are a few key factors that directly impact this, and that’s what we’ll explore today. 1. PR Size / Number of Changes This one is obvious…
-
How to Measure Deployment Frequency
Have you ever wondered how often your dev team deploys code to production? The answer to that question is called deployment frequency, and it’s one of the key indicators of efficiency. High deployment frequency usually means your team is agile and able to deliver continuous value to users. But what exactly is deployment frequency, and…
-
How software engineering teams are using AI
Artificial Intelligence is no longer just a buzzword— it’s become an essential tool for software engineering teams. From automating repetitive tasks to improving code quality, AI is reshaping how engineers work. In this article, we explore how teams are leveraging AI to boost efficiency and effectiveness. The Generative AI Revolution: Real Game-Changer or Just Hype?…
-
How AI speeds up Code Review and boosts developer productivity
Code review cycles are often one of the most time-consuming and challenging parts of software development. But with AI making strides, this process is evolving fast. Smart automation in code review helps developers deliver faster and with higher quality, removing bottlenecks and improving team productivity. Let’s explore how AI is transforming code reviews and impacting…
-
DORA Accelerate State of DevOps 2024: Key Takeaways
The 2024 DORA Accelerate State of DevOps Report is packed with insights that can reshape how tech teams work. This year, the spotlight was on the impact of AI and the changes it has brought to software engineering. I’ll give you an overview of the key points so you can decide if it’s worth diving…
